Abstract: Improving right party contact rates with a customer by exploring available contact channels and time periods may include periodically reviewing that customer's contact information to determine a set of exploration scores for each contact channel and time period pair of that customer, using an exploration score function based on an unexplored potential value, a contact utilization value, and a need-to-explore value for that contact channel and time period pair.

Abstract: A method for setting a performance target in an outcome driven business model. The method includes receiving historical data, comprising industry performance data, for the outcome driven business model and performance target settings, including a forecasting horizon and confidence level. The method includes calculating, for a plurality of forecasting methods and the forecasting horizon, a function associated with a probability of an industry benchmark performance meeting a threshold value. The method includes determining, based on the function for each of the plurality of forecasting methods, a best forecasting method of the plurality of forecasting methods at the forecasting horizon and the confidence level. The method includes calculating, based on the historical data and the forecasting horizon, using the best forecasting method, a forecast benchmark value.

Abstract: Improving right party contact rates with a customer by exploring available contact channels and time periods may include periodically reviewing that customer's contact information to determine a set of exploration scores for each contact channel and time period pair of that customer, using an exploration score function based on an unexplored potential value, a contact utilization value, and a need-to-explore value for that contact channel and time period pair.

Abstract: Estimating best time to contact a customer may include estimating a statistical model which computes a score for determining a successful contact with the customer for the time period based on a first set of historical customer contact data. A second set of historical customer contact data associated with at least one customer may be received and the score of a successful contact may be provided for the customer based on the second set of historical data and the estimated statistical model.

Abstract: Systems and methods are provided for forecasting event dates. In one method, one or more defined process events are identified. For one event, a duration distribution between two dates is estimated dynamically. The first date may be the start date of the event and the second date may be the end date of the last event in the process. The estimated duration distribution is used for generating one or more modeling parameters used for forecasting.